Machine Learning Researcher - Audio - The Audio Programmer

Key Responsibilities

• Conduct cutting‑edge research on deep learning techniques for audio processing and speech recognition.
• Design, implement, and train neural network models using frameworks such as PyTorch or TensorFlow.
• Evaluate model performance, conduct rigorous testing, and iterate to improve accuracy and efficiency.
• Collaborate with cross‑functional teams to integrate models into production voice‑technology pipelines.
• Publish findings and contribute to technical documentation and knowledge sharing.

Requirements

• Strong background in machine learning and deep learning applied to audio.
• Proficiency in Python and experience with ML libraries (PyTorch/TensorFlow).
• Hands‑on experience with audio signal processing, speech recognition, and noise‑cancellation algorithms.
• Excellent analytical skills and ability to translate research into scalable solutions.
• Effective communication skills for presenting complex ideas to technical and non‑technical audiences.